Submission information
Submission Number: 25
Submission ID: 42
Submission UUID: 5162671c-015f-46ab-baaa-8162faf0e070
Submission URI: /form/project
Created: Tue, 09/03/2019 - 13:58
Completed: Tue, 09/03/2019 - 14:00
Changed: Thu, 04/28/2022 - 13:22
Remote IP address: 130.215.55.243
Submitted by: Sean Birkel
Language: English
Is draft: No
Webform: Project
| Project Title | Using station data and downscaled reanalysis to assess the occurrence of extreme weather |
|---|---|
| Program | Northeast |
| Project Image |
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| Tags | data-management (260) |
| Status | Complete |
| Project Leader | Sean Birkel |
| birkel@maine.edu | |
| Mobile Phone | |
| Work Phone | |
| Mentor(s) | Chris Wilson, Larry Whitsel |
| Student-facilitator(s) | Daniel Paradis |
| Mentee(s) | |
| Project Description | Meteorological observations across North America and Europe suggest a significant increase in the frequency and intensity of extreme weather (heat waves, cold waves, precipitation events) coincident with satellite-measured major decline of Arctic sea ice over the past decade. This project will assess the occurrence and impact of extreme weather events across Northern New England using both station data and climate reanalysis models. Weather and climate are critically important across Northeast New England, owing to the heavy reliance of natural resources for its economy. In particular this project involves mining multi-terabyte databases and model outputs to visualize data in a variety of formats. |
| Project Deliverables | |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | An undergraduate student with a knowledge of programming and data handling. |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | Practical applications |
| Mentee Programming Skill Level | |
| Project Institution | University of Maine |
| Project Address | |
| Anchor Institution | NE-University of Maine |
| Preferred Start Date | 11/10/2017 |
| Start as soon as possible. | No |
| Project Urgency | Already behind3Start date is flexible |
| Expected Project Duration (in months) | |
| Launch Presentation | |
| Launch Presentation Date | |
| Wrap Presentation | |
| Wrap Presentation Date | |
| Project Milestones | |
| Github Contributions | |
| Planned Portal Contributions (if any) | |
| Planned Publications (if any) | |
| What will the student learn? | Student will learn how to deal with the particular data format that climate data typically uses, how to parse and create graphics on a web page from such data and how to port web pages from the existing physical server to a virtual machine. |
| What will the mentee learn? | |
| What will the Cyberteam program learn from this project? | |
| HPC resources needed to complete this project? | Virtual machine resources from the ACG at UMaine |
| Notes | |
| What is the impact on the development of the principal discipline(s) of the project? | |
| What is the impact on other disciplines? | |
| Is there an impact physical resources that form infrastructure? | |
| Is there an impact on the development of human resources for research computing? | |
| Is there an impact on institutional resources that form infrastructure? | |
| Is there an impact on information resources that form infrastructure? | |
| Is there an impact on technology transfer? | |
| Is there an impact on society beyond science and technology? | This work helped launch the climate reanalyzer (https://climatereanalyzer.org/) to help make weather and climate more accessible. |
| Lessons Learned | |
| Overall results | The site has been operational for a number of years and attracts hundreds of hits per day. |